Artificial intelligence can be used to ease the workload of web project developers. In the future, it can be used to improve website design, enhance search capabilities, better organize and manage workflow, improve customer interactions, and improve targeting of consumers through digital marketing initiatives.
If we understand and use artificial intelligence ethically, humanity will make unimaginable leaps forward. But how can we use it today? We must begin to recognize that AI can be an ally to enhance our daily creative and strategic work.
I use a variety of intelligent tools to validate ideas, accelerate thinking, and suggest new scenarios and creative approaches to extend and optimize my work. Anyone working in digital, in any field, is involved in creating content – text, images, photos, video, audio, etc. AI can speed up and streamline that process, as well as enhance and improve the potential of the content.
Today, there are intelligent tools and plug-ins that many call “magic tools” that can quickly generate digital content or at least facilitate first drafts.
What we do with that content will be up to us, whether we use it as a conduit to accelerate and validate our creative thinking or incorporate it into our projects if we have the right to use it.
Many authoritative platforms such as Adobe, Slack, Canva, and others are beginning to integrate these Magic tools to enhance their content creation offerings for digital professionals.
Here are a few AI tools to try out in 2023:
- openai.com/dall-e-2/ – AI system that can create realistic images and art from a description in natural language.
- tome.app – AI storytelling partner and ppt generator;
- personal.ai – AI-based software to help users retain, reinforce, and recall human memory
- withflair.ai – branded content generator
- donotpay.com – an online legal service and chatbot.
We should welcome these new tools as arrows in our creative and strategic bow to improve our processes and dynamics. Today, however, when we talk about AI, we are referring to human-made software, which is therefore imperfect and not “smart” or “intelligent” as one might think. There is still a lot of work to be done to reduce the severity and vulnerability through transparency, inclusivity, and diversity in the design of AI systems.